Cloud Cost Analyzer

Analyze, optimize, and reduce your cloud spending across AWS, GCP, Azure, and more

Free, instant analysis with detailed breakdowns, forecasting, and actionable savings recommendations

100% Client-side Processing
Instant Results
Advanced Analytics

Supported Cloud Providers

AWS

6+ services

GCP

5+ services

Azure

5+ services

Drop your billing file here

Supports AWS, GCP, Azure, and more • CSV, JSON, Excel formats

or

Secure Analysis

Data processed locally

Instant Results

Real-time analysis

AI Insights

Smart recommendations

How to Export Billing Data
Select your cloud provider for specific instructions

AWS Billing Export

Navigate to: Billing Dashboard → Cost & Usage Reports

Supported Formats:

CSV (Cost & Usage Report)CSV (Simple Monthly)Parquet
Quick Start Guide
1

Export billing data from your cloud provider

2

Upload the file using the drop zone above

3

View instant analysis and recommendations

4

Export reports and implement savings

40%

Average Savings

15+

Cloud Providers

50+

Service Types

100%

Private & Secure

Powerful Cloud Cost Analysis Features

Detailed Cost Breakdown

Analyze costs by service, region, tags, and time period with interactive visualizations.

Cost Forecasting

Predict future cloud spending based on historical trends and usage patterns.

Savings Recommendations

Get actionable insights to reduce costs by up to 40% with optimization suggestions.

100% Private & Secure

All analysis happens in your browser. Your billing data never leaves your device.

Multi-Cloud Support

Analyze costs across AWS, GCP, Azure, DigitalOcean, and more providers.

Real-Time Analysis

Instant results with no server processing. Works with billing exports and APIs.

Comprehensive Cloud Cost Management

Simple 4-Step Process

1

Export Your Billing Data

Download your billing CSV/JSON from AWS Cost Explorer, GCP Billing, or Azure Cost Management.

2

Upload to Analyzer

Drag and drop your billing file. The tool auto-detects the provider and format.

3

Get Instant Analysis

View detailed breakdowns, trends, anomalies, and forecasts in interactive charts.

4

Implement Optimizations

Follow personalized recommendations to reduce costs and optimize resources.

Frequently Asked Questions

How does the Cloud Cost Analyzer work?

Simply upload your cloud billing CSV/JSON export or paste billing data. Our tool analyzes the data locally in your browser, providing instant insights into your spending patterns, trends, and optimization opportunities. No data is sent to our servers.

Which cloud providers are supported?

We support AWS, Google Cloud Platform (GCP), Microsoft Azure, DigitalOcean, Linode, Vultr, and more. The tool automatically detects your provider from the billing data format. We're constantly adding support for new providers.

What cost optimization recommendations do you provide?

Our analyzer identifies unused resources, suggests right-sizing for over-provisioned instances, recommends Reserved Instances or Savings Plans, highlights duplicate resources, suggests cheaper regions, and provides service-specific optimizations.

How accurate is the cost forecasting?

Our forecasting uses advanced statistical models based on your historical data. Accuracy typically ranges from 85-95% for stable workloads. The tool also shows confidence intervals and factors in seasonal patterns.

Can I analyze costs by tags or departments?

Yes! The tool automatically detects and groups costs by tags, allowing you to analyze spending by department, project, environment, or any custom tags you use. You can also create custom groupings.

What file formats are supported?

We support standard billing export formats: AWS Cost and Usage Reports (CSV), GCP BigQuery billing export (JSON/CSV), Azure Cost Management exports (CSV), and generic CSV formats from other providers.

Is my billing data secure?

Absolutely. All processing happens locally in your browser using JavaScript. Your billing data never leaves your device, and we don't store any of your financial information. You can verify this by checking your browser's network tab.

Can I export the analysis results?

Yes, you can export your analysis as PDF reports, PNG images of charts, CSV data for further analysis, or shareable links (data stored locally). Perfect for presenting to stakeholders or tracking progress.

Start Optimizing Your Cloud Costs Today

Join thousands of companies saving millions on cloud infrastructure

Complete Guide to Cloud Cost Analysis and Optimization

Understanding Cloud Costs

Cloud computing costs can quickly spiral out of control without proper monitoring and optimization. Our Cloud Cost Analyzer helps you understand exactly where your money is going across different cloud providers, services, and resources. Whether you're using AWS, Google Cloud Platform, Microsoft Azure, or other providers, getting visibility into your spending is the first step toward optimization.

Key Areas for Cloud Cost Optimization

The most significant opportunities for cost savings typically come from several key areas:

  • Rightsizing Resources: Many organizations over-provision their cloud resources, paying for capacity they don't use
  • Reserved Instances: Committing to longer-term usage can provide significant discounts
  • Spot Instances: For fault-tolerant workloads, spot instances offer up to 90% savings
  • Storage Optimization: Moving data to appropriate storage tiers based on access patterns
  • Unused Resources: Identifying and removing orphaned resources that continue to incur charges

Multi-Cloud Cost Management

Many organizations today use multiple cloud providers to avoid vendor lock-in and leverage best-of-breed services. Our analyzer supports multi-cloud environments, allowing you to compare costs across providers and make informed decisions about workload placement. You can analyze AWS EC2 costs alongside Google Compute Engine and Azure Virtual Machines to find the most cost-effective solution for your needs.

Advanced Analytics and Forecasting

Beyond simple cost breakdowns, our tool provides advanced analytics including anomaly detection to identify unusual spending patterns, trend analysis to understand how costs change over time, and predictive forecasting to budget accurately for future periods. These insights help you make data-driven decisions about your cloud infrastructure and avoid budget surprises.

Getting Started with Cloud Cost Analysis

To begin analyzing your cloud costs, simply export your billing data from your cloud provider's console. For AWS, this is the Cost and Usage Report; for GCP, it's the BigQuery billing export; and for Azure, it's the Cost Management export. Upload the file to our analyzer, and within seconds you'll have a comprehensive view of your cloud spending with actionable recommendations for optimization.

Privacy and Security

We take your data privacy seriously. All analysis is performed locally in your browser using JavaScript, meaning your sensitive billing data never leaves your device. There's no server-side processing, no data storage, and no risk of your financial information being exposed. You can verify this by monitoring your browser's network activity while using the tool.